Concepedia

Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference

Eric Mitchell, Joseph J. Noh, Siyan Li, Will J. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning

2022 · 19 citations · 24 references

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Abstract

Eric Mitchell, Joseph Noh, Siyan Li, Will Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher Manning. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.

References

24

HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case

Yinhan Liu, Myle Ott, Jingfei Du et al. · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2019 · 17.3K citations · Full text

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Exploring the Limits of Transfer Learning with a Unified Text-to-Text\n Transformer

Colin Raffel, Noam Shazeer, Adam Roberts et al. · arXiv (Cornell University) · 2019 · 8.3K citations · Full text

, , +14

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev et al. · 2016 · 6.3K citations · Full text

, , +16

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Ranjay Krishna, Yuke Zhu, Oliver Groth et al. · International Journal of Computer Vision · 2017 · 5.2K citations · Full text

, , +16

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Hao Tan, Mohit Bansal · 2019 · 2.3K citations · Full text

, , +16